AI-Powered Automation in Business Operations for the Future

• DOI: 10.54536/ajsts.v4i1.4495
• Publication Date: 2025-04-11T14:14:18Z
• Authors: Md Zahirul Islam; Prottoy Khan; Sazib Hossain

AI and RPA technologies has become the latest trends in business world that have revolutionized sectors at an unprecedented pace. Even though, nowadays apply to manufacturing, logistics, supply chain management industries others, extent of their benefits on operational capabilities, decision-making procedures, organizational performance still does not receive enough empirical research attention. To this end, paper seeks fill gap by explaining how automation, more specifically cognitive automation are changing processes. In specific, study focuses general application increasing productivity efficiency as well reducing human error occurrences consist automated systems. The uses Random Forest regression classification models analyze current data from robotic structures improve production line manufacturing firms. This proves helps enhancing all time prediction processes also cooperates with process eradicating operations decreasing odds course error. Thus, outcomes indicate a need combine new like blockchain 5G strengthen security component, develop efficient management, wel l real-time analysis – which expand possibilities. based such decision making, maintenance discusses can transform businesses. addition, it identifies factors affecting implementation organizations including workforce changes, issues, input is poor quality. It offers practical set suggestions for organisations concerning shifting landscape, gives consideration moral issues social impacts technology its discussion.